2018-12-16 22:45:12 +01:00
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# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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2019-01-02 23:24:07 +01:00
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# SOURCE #
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# https://gitlab.com/msberends/AMR #
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2018-12-16 22:45:12 +01:00
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# #
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# LICENCE #
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2019-01-02 23:24:07 +01:00
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# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
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2018-12-16 22:45:12 +01:00
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# #
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2019-01-02 23:24:07 +01:00
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# #
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# This R package was created for academic research and was publicly #
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# released in the hope that it will be useful, but it comes WITHOUT #
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# ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.gitab.io/AMR. #
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2018-12-16 22:45:12 +01:00
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# ==================================================================== #
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2018-07-01 21:40:37 +02:00
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context("g.test.R")
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test_that("G-test works", {
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2018-07-02 09:34:20 +02:00
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# GOODNESS-OF-FIT
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2018-07-01 21:40:37 +02:00
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# example 1: clearfield rice vs. red rice
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x <- c(772, 1611, 737)
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2018-07-10 12:27:07 +02:00
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expect_equal(g.test(x, p = c(0.25, 0.50, 0.25))$p.value,
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2018-07-01 21:40:37 +02:00
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expected = 0.12574,
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tolerance = 0.00001)
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# example 2: red crossbills
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x <- c(1752, 1895)
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2018-07-10 12:27:07 +02:00
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expect_equal(g.test(x)$p.value,
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2018-07-01 21:40:37 +02:00
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expected = 0.01787343,
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tolerance = 0.00000001)
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2018-08-24 11:08:20 +02:00
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expect_error(g.test(0))
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expect_error(g.test(c(0, 1), 0))
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expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25)))
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expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24)))
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expect_warning(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24), rescale.p = TRUE))
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2018-07-17 11:18:36 +02:00
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2018-07-02 09:34:20 +02:00
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# INDEPENDENCE
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2018-08-24 11:08:20 +02:00
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x <- as.data.frame(
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matrix(data = round(runif(4) * 100000, 0),
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ncol = 2,
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byrow = TRUE)
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)
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2019-01-12 11:06:58 +01:00
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# fisher.test() is always better for 2x2 tables:
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expect_warning(g.test(x))
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expect_lt(suppressWarnings(g.test(x)$p.value),
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2018-07-04 17:20:03 +02:00
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1)
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2018-07-02 09:34:20 +02:00
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2018-07-17 11:18:36 +02:00
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expect_warning(g.test(x = c(772, 1611, 737),
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y = c(780, 1560, 780),
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rescale.p = TRUE))
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2018-08-24 11:08:20 +02:00
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expect_error(g.test(matrix(data = c(-1, -2, -3 , -4), ncol = 2, byrow = TRUE)))
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expect_error(g.test(matrix(data = c(0, 0, 0, 0), ncol = 2, byrow = TRUE)))
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2018-07-01 21:40:37 +02:00
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})
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